MAAP LAB 🎵 — Music AI & Audio Research

“Music AI Assemble People, MAAP!”

Mission

Advance the foundations of Music AI through practical research, then share our results openly with the community. ✨

Open Science

We aim to publish at top venues (e.g., ICASSP, ISMIR, AAAI) and release code, models, and datasets whenever possible. 📢

Latest News 🗞️

• Our paper is accepted in NeurIPS 2025 Workshop AI for Music 🎉 AIBA: Attention-based Instrument Band Alignment for Text-to-Audio Diffusion
• Our paper is accepted in ACL 2026 Findings 🎉 Jamendo-MT-QA: A Benchmark for Multi-Track Comparative Music Question Answering
• Dataset Open!
  • Jamendo-QA dataset is available in Huggingface with Preprint available on arXiv (2509.15662)
  • Jamendo-MT-QA dataset is available in HuggingFace

Publications & Submissions 📚

• AIBA: Attention-based Instrument Band Alignment for Text-to-Audio Diffusion — Accepted at NeurIPS Workshop 2025
• Jamendo-QA: A Large-Scale Music Question Answering Dataset — Preprint on arXiv
• Jamendo-MT-QA: A Benchmark for Multi-Track Comparative Music Question Answering - Accepted at ACL 2026 Findings

Get Involved 🤝

Interested in collaborating on Music AI? We welcome discussions on datasets, evaluation, and model design.
Contact: arsol970812@gmail.com ✉️

_{© 2026 MAAP LAB • Built with ❤️ for music & AI.}